mShift and Loss Scan Partner to Automate Insurance's Data Bottleneck

PHOENIX, AZ – February 10, 2026 – In a significant move to accelerate one of the insurance industry's most sluggish processes, Millennial Shift Technologies (mShift) today announced a partnership to embed Loss Scan's AI-powered data extraction technology directly into its mShift Marketplace platform. The integration promises to transform hours of manual document handling into mere seconds of automated processing, tackling the persistent challenge of unstructured data that has long hindered efficiency for brokers and carriers.

This collaboration brings real-time document data extraction and deep analytical capabilities to the forefront of commercial insurance workflows, aiming to eliminate a critical bottleneck in the path to quoting, binding, and issuing policies.

The End of the Digital Paper Jam

For decades, the commercial insurance sector has been wrestling with a fundamental problem: its most critical decisions often rely on data trapped in inconsistent and unwieldy formats. Loss runs—historical records of a policyholder's claims—are vital for underwriting, renewals, and risk management. However, they arrive as PDFs, spreadsheets, and scanned images in thousands of different layouts, forcing teams to manually re-key information in a process that is both time-consuming and prone to error.

"Loss Scan was founded to solve the problem of unstructured insurance data," said Scott Knowles, Co-Founder and CEO of Loss Scan, in the announcement. "The most important decisions in insurance are still being made with the worst data... Loss Scan was built to change that by turning loss runs into usable, decision-ready data."

The newly integrated technology leverages proprietary AI to read and comprehend these documents instantly. Loss Scan, a product from parent company Deep Vector, has already proven its mettle by processing over 2.5 million pages across more than 12,600 different carrier formats. By structuring this information automatically, the platform can now generate in-depth stewardship reports and deliver deep claims analytics in seconds, a task that previously consumed significant manual labor.

A Digital Catalyst for Brokers and Carriers

For insurance brokers using the mShift platform, the integration aims to deliver immediate and tangible benefits. The new capability complements mShift's existing suite of AI-powered tools, which include automated email quoting, data enrichment, and bulk processing services. The goal is to create a seamless workflow from initial submission to final policy issuance.

"mShift's mission has always been to keep brokers at the center of the client relationship by giving them modern tools to be more efficient day to day," stated Mark Meury, CEO at Millennial Shift Technologies. "By embedding Loss Scan directly into our platform, we're turning hours of manual document handling into seconds of automated processing."

This efficiency gain is not just about speed; it's about reallocating resources. By freeing brokers from the administrative burden of data entry, the platform allows them to focus on higher-value activities like advising clients, negotiating terms, and strengthening relationships. However, the path to full automation is not without its hurdles. Industry experts note that integrating such advanced solutions into the complex and often fragmented IT environments of insurance agencies can be a challenge. Many firms still rely on legacy systems that are not easily compatible with modern APIs, and ensuring high-quality data migration remains a critical consideration for any successful implementation.

Reshaping Risk with Real-Time Intelligence

Beyond operational efficiency, the partnership strikes at the heart of how risk is assessed and priced. By converting unstructured loss runs into structured, analyzable data in real time, the platform provides underwriters with a much clearer and more immediate picture of risk.

This aligns with a broader industry trend where data analytics is revolutionizing underwriting. According to recent industry studies, AI systems have been shown to improve risk assessment accuracy by over 40% and can slash underwriting processing times by more than 65%. With access to clean, instantaneous data, underwriters can move beyond traditional demographic models to more dynamic and precise risk evaluation. This allows for more accurate pricing, refined risk selection, and the ability to confidently underwrite complex policies that might have been previously declined due to data ambiguity.

"Partnering with mShift allows us to bring this capability to more brokers and carriers, helping them make smarter decisions faster and focus on what matters most—serving their clients," Knowles added. The ability to instantly analyze millions of individual claims provides a powerful tool for identifying trends, predicting future losses, and ultimately creating more competitive and sustainable insurance products.

Riding the Insurtech Wave

The mShift and Loss Scan collaboration is a prime example of the ongoing transformation within the insurance industry, fueled by a booming insurtech sector. The global market for AI in insurance, valued at under $5 billion just a few years ago, is projected by analysts to surge to nearly $80 billion by 2032. This explosive growth is driven by a relentless demand for greater efficiency, improved accuracy, and a more responsive customer experience.

Loss Scan has already established a significant footprint in this evolving landscape. According to a report from its parent company, the technology is now utilized by more than 40% of the top 100 insurance brokers, demonstrating a clear appetite for solutions that solve fundamental data challenges. As technology continues to lower the barriers to entry and operation, partnerships that combine specialized AI capabilities with established broker platforms are becoming crucial for maintaining a competitive edge. This integration signals a clear move away from siloed, manual processes and toward a more interconnected, intelligent, and automated future for the commercial insurance market.